Showing 6,421 - 6,436 results of 6,436 for search '"sensors"', query time: 0.08s Refine Results
  1. 6421

    Effects of heat stress abatement on behavioral response in lactating dairy cows prior to and following an intramammary lipopolysaccharide infusion by T.N. Marins, R.M. Orellana Rivas, Y-C. Chen, V.H.L.R. Melo, Z. Wang, H. Liu, J. Gao, C.G. Savegnago, A.M. Roper, J.K. Bernard, P. Melendez, S. Tao

    Published 2025-02-01
    “…Feeding and resting behaviors were recorded throughout the experiment using automated sensor devices (NEDAP). Sorting activity based on particle size separation using a Penn State Particle Separator was assessed at d 3, 16, and 26 of the experiment. …”
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  2. 6422

    TEKNIK MENENTUKAN WAKTU HILANGNYA SYAFAQ (CAHAYA MERAH) MENGGUNAKAN SQY QUALITY METER (SQM) DENGAN METODE TITIK POTONG (CUTOFF) by M. Asep Rizkiawan, Rosalina Rosalina, Emilia Roza

    Published 2021-08-01
    “…In measuring the brightness of the sky, the researchers used non-image sensor technology, namely Sky Quality Meter (SQM). …”
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  3. 6423

    Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska by Pratima Khatri-Chhetri, Hans-Erik Andersen, Bruce Cook, Sean M. Hendryx, Liz van Wagtendonk, Van R. Kane

    Published 2025-06-01
    “…Our datasets included field and high-resolution topographic metrics including elevation, slope, aspect, and solar radiation and canopy height derived from lidar (1 m) and 44 vegetation indices derived from high-resolution (1 m) visible to near infrared (VNIR) hyperspectral data collected by NASA Goddard's Lidar, Hyperspectral and Thermal Imager (G-LiHT) sensor. The remote sensing data were collected under variable sky conditions (clear to overcast) throughout a 1-month growing-season period, and field data collected by United States Department of Agriculture (USDA) Forest Service, Forest Inventory and Analysis program (FIA). …”
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  4. 6424

    A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity by Wen Wang, Wen Wang, Meiting Wang, Huanbai Wang, Weifeng Xu, Conggang Wang, Jie Pei, Xiaodan Li, Dongting Zhangsun, Dongting Zhangsun

    Published 2025-01-01
    “…This treatment also resulted in reduced expression of neuronal calcium sensor 1 (NCS-1) and neuroligin 3 (NLGN-3) in the prefrontal cortex (PFC), hippocampus (Hip), and caudate putamen (CPu). …”
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  5. 6425

    Use of Digital Health Technologies for Dementia Care: Bibliometric Analysis and Report by Hebatullah Abdulazeem, Israel Júnior Borges do Nascimento, Ishanka Weerasekara, Amin Sharifan, Victor Grandi Bianco, Ciara Cunningham, Indunil Kularathne, Genevieve Deeken, Jerome de Barros, Brijesh Sathian, Lasse Østengaard, Frederique Lamontagne-Godwin, Joost van Hoof, Ledia Lazeri, Cassie Redlich, Hannah R Marston, Ryan Alistair Dos Santos, Natasha Azzopardi-Muscat, Yongjie Yon, David Novillo-Ortiz

    Published 2025-02-01
    “…ConclusionsOur study shows a steady increase in dementia- and DHT-related publications, particularly in areas such as mobile health, virtual reality, artificial intelligence, and sensor-based technologies interventions. This increase underscores the importance of systematic approaches and interdisciplinary collaborations, while identifying knowledge gaps, especially in lower-income regions. …”
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  6. 6426

    Characterization of a novel covS SNP identified in Australian group A Streptococcus isolates derived from the M1UK lineage by Johanna Richter, Amanda J. Cork, Yvette Ong, Nadia Keller, Andrew J. Hayes, Mark A. Schembri, Amy V. Jennison, Mark R. Davies, Kate Schroder, Mark J. Walker, Stephan Brouwer

    Published 2025-02-01
    “…The two-component CovRS system, comprising the sensor kinase CovS and transcription factor CovR, is a central regulator of GAS virulence genes. …”
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  7. 6427

    Carbono azul almacenado en los bosques de manglar del Pacífico Norte de Nicaragua by Oscar González-Quiroz, Manuel Vanegas, Eugenia Cerda, Melvin Lezama, Claudia Dolmus, Issamar Quiroz, María Paz, Carlos Solís, Eleazar Blanco, Marling Pérez

    Published 2024-09-01
    “…Se descargaron imágenes satelitales del sensor Sentinel 2B (15 m x 15 m) para calcular el índice de vegetación de diferencia normalizada. …”
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  8. 6428

    Productivity of water and heat resources and cotton yield response to cropping pattern and planting density in cotton fields in arid area by Zhenlin Dong, Sumei Wan, Yunzhen Ma, Jinbin Wang, Lu Feng, Yunlong Zhai, Tiantian Li, Zhengjun Cui, Jian Wang, Beifang Yang, Ze Yang, Zhan Zhao, Fei Yan, Shiwu Xiong, Yabing Li, Guodong Chen

    Published 2025-02-01
    “…To test this, a two-year field experiment (2022–2023) employed a split-plot design with two main planting patterns (four rows per film and six rows per film) and three planting densities (low, medium, and high) as subplots. Using internet of sensor technology, soil temperature and moisture were monitored to assess their spatial and temporal distributions. …”
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  9. 6429
  10. 6430

    Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference by ZHAO Chunjiang, LI Jingchen, WU Huarui, YANG Yusen

    Published 2024-11-01
    “…For example, by integrating real-time sensor data with historical patterns, the system can predict how changes in irrigation or fertilization practices will impact crop health and yield. …”
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  11. 6431

    Accurate space-based NO<sub><i>x</i></sub> emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes by F. Cifuentes, F. Cifuentes, H. Eskes, E. Dammers, E. Dammers, C. Bryan, F. Boersma, F. Boersma

    Published 2025-02-01
    “…<p>The flux divergence approach (FDA) is a popular technique for deriving <span class="inline-formula">NO<sub><i>x</i></sub></span> emission estimates from tropospheric <span class="inline-formula">NO<sub>2</sub></span> columns measured by the TROPOspheric Monitoring Instrument (TROPOMI) satellite sensor. An attractive aspect of the FDA is that the method simplifies three-dimensional atmospheric chemistry and transport processes into a two-dimensional (longitude–latitude) steady-state continuity equation for columns that balances local <span class="inline-formula">NO<sub><i>x</i></sub></span> emissions with the net outflow and chemical loss of <span class="inline-formula">NO<sub><i>x</i></sub></span>. …”
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  12. 6432

    Grape Recognition and Localization Method Based on 3C-YOLOv8n and Depth Camera by LIU Chang, SUN Yu, YANG Jing, WANG Fengchao, CHEN Jin

    Published 2024-11-01
    “…During this process, the depth camera was used to capture images, and target detection algorithms were employed to pinpoint the location of grapes. The camera's depth sensor facilitated the acquisition of the three-dimensional point cloud of grapes, allowing for the calculation of the distance from the pixel point to the camera and the subsequent determination of the three-dimensional coordinates of the center of the target's bounding box in the camera coordinate system, thus achieving grape recognition and localization.…”
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  13. 6433

    Cambios hidrográficos estacionales a lo largo de la costa del Golfo de Arauco (37º S) by Odette A. Vergara, Josse Contreras-Rojas, Richard Muñoz, Luis Bermedo, Marcus Sobarzo, Gonzalo S. Saldías, Cristian Chandía, Aldo Hernández, Marco Salamanca, Eduardo Hernández-Miranda

    Published 2024-12-01
    “…Adicionalmente, datos satelitales provenientes del sensor MODIS-aqua de temperatura superficial del mar, clorofila-a y Rrs645 fueron utilizados para complementar la información in situ. …”
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  14. 6434

    Long-Term Evaluation of GCOM-C/SGLI Reflectance and Water Quality Products: Variability Among JAXA G-Portal and JASMES by Salem Ibrahim Salem, Mitsuhiro Toratani, Hiroto Higa, SeungHyun Son, Eko Siswanto, Joji Ishizaka

    Published 2025-01-01
    “…The Global Change Observation Mission-Climate (GCOM-C) satellite, launched in December 2017, is equipped with the Second-generation Global Imager (SGLI) sensor, featuring a moderate spatial resolution of 250 m and 19 spectral bands, including the unique 380 nm band. …”
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  15. 6435
  16. 6436

    The study of interactome in Russian patients with Usher syndrome to select priority approaches in pathogenetically oriented treatment by M.E. Ivanova, D.S. Atarshchikov, A.M. Demchinsky, V.V. Strelnikov, D. Barh, G.V. Poryadin, L.M. Balashova, J.M. Salmasi

    Published 2019-11-01
    “…Salmasi<sup>6</sup></b><br> </p> <p> <b><sup>1</sup>LLC “Oftalmic”, Moscow, Russian Federation</b> </p> <p> <b><sup>2</sup>Central Clinical Hospital under Presidential Affairs, Moscow, Russian Federation</b> </p> <p> <b><sup>3</sup>Autonomous nonprofit organization “Scientific and industrial laboratory “Sensor technology <br> </b><b>&nbsp; </b><b>for deafblind”, Moscow, Russian Federation</b> </p> <p> <b><sup>4</sup>Research Centre for Medical Genetics, Moscow, Russian Federation</b> </p> <p> <b><sup>5</sup>Institute of Integrative Omics and Applied Biotechnology (IIOAB), Bangalore, India</b> </p> <p> <b><sup>6</sup>Pirogov Russian National Research Medical University, Moscow, Russian Federation</b> </p> <p> <b><sup>7</sup>Non-profit partnership International Scientific and Practical Center for the Proliferation of </b><b>Tissues of Russia, Moscow, Russian Federation</b> </p> <p> <br> </p> <p> <i><b>Background</b>: Usher syndrome (USH) is a heterogeneous syndrome characterized by hearing loss and vision loss. …”
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